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de Rijk M, Hentzen C, Selai C, Musco S, Lombardo R, van Koeveringe G, Chapple C, Abrams P, Wyndaele JJ, McCloskey K. Systematic Evaluation of Lower Urinary Tract Sensations to Improve Management of LUTS: ICI-RS 2024. Neurourol Urodyn 2025; 44:622-630. [PMID: 39676721 PMCID: PMC11920938 DOI: 10.1002/nau.25636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Accepted: 11/21/2024] [Indexed: 12/17/2024]
Abstract
AIMS Lower urinary tract (LUT) sensations form an essential part of diagnostic criteria for many LUT symptoms, additionally LUT sensations are used to evaluate the effectivity of therapeutic interventions. The accurate measurement of LUT sensations, however, is severely hampered by the subjective nature of these sensations. METHODS This paper summarizes the discussions from the 2024 meeting of the International Consultation for Incontinence-Research Society (ICI-RS 2024) regarding systematic evaluations of LUT sensations and the design of more objective tools to measure these. RESULTS Here, we discuss factors that influence sensations that are under the control of the caregiver/investigator, the signaling of sensations from the LUT toward the central nervous system, and currently used diagnostic tools to measure LUT sensations. Recent methodological advances to objectively measure factors that correspond with changes in LUT sensations are introduced along with recommendations for future research to optimally enable objective assessment of processes underlying LUT sensations. CONCLUSIONS Advancing the objective measurement of LUT sensations will require interdisciplinary collaboration, integrating insights from neuroscience, engineering, and clinical practice. Such efforts hold the potential to transform patient care by enabling more precise diagnostics and personalized therapeutic strategies.
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Affiliation(s)
- Mathijs de Rijk
- Department of Urology, Mental Health and Neuroscience Research InstituteMaastricht UniversityMaastrichtThe Netherlands
- Department of UrologyMaastricht University Medical Center+MaastrichtThe Netherlands
| | - Claire Hentzen
- GREEN Group of Clinical REsEarch in Neurourology, AP‐HP, Hôpital TenonSorbonne UniversityParisFrance
| | - Caroline Selai
- Queen Square Institute of Neurology, University College LondonLondonUK
- The National Hospital for Neurology and Neurosurgery/UCLH NHS Foundation TrustLondonUK
| | | | | | - Gommert van Koeveringe
- Department of Urology, Mental Health and Neuroscience Research InstituteMaastricht UniversityMaastrichtThe Netherlands
- Department of UrologyMaastricht University Medical Center+MaastrichtThe Netherlands
| | - Christopher Chapple
- Department of UrologySheffield Teaching Hospitals NHS Foundation TrustSheffieldUK
| | - Paul Abrams
- Bristol Urological Institute, Southmead HospitalBristolUK
| | - Jean J. Wyndaele
- Faculty of Medicine and Health SciencesUniversity of AntwerpEdegemBelgium
| | - Karen McCloskey
- Patrick G. Johnston Centre for Cancer Research, School of Medicine, Dentistry and Biomedical SciencesQueen's University BelfastBelfastNorthern IrelandUK
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Mazeaud C, Bernard JA, Salazar BH, Su J, Karmonik C, Khavari R. Cerebellar functional connectivity relates to lower urinary tract function: A 7 Tesla study. Neurourol Urodyn 2024; 43:2147-2156. [PMID: 38962955 DOI: 10.1002/nau.25535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 04/25/2024] [Accepted: 06/21/2024] [Indexed: 07/05/2024]
Abstract
OBJECTIVES The objective of this study is to explore the functional connectivity (FC) of the cerebellum during the storage phase of micturition, through detecting spontaneous blood-oxygen-level dependent signal between the cerebellum and different brain regions using a high-resolution 7 Tesla magnetic resonance imaging (MRI) scanner. MATERIALS AND METHODS We recruited healthy individuals with no reported history of neurological disease or lower urinary tract (LUT) symptoms. Participants were asked to drink 500 mL of water and then empty their bladders before entering the MRI scanner. They underwent a T1-weighted anatomical scan, followed by an initial (8 min) empty bladder resting state functional MRI (rs-fMRI) acquisition. Once subjects felt the desire to void, a second rs-fMRI scan was obtained, this time with a full bladder state. We established a priori cerebellar regions of interest from the literature to perform seed-to-voxel analysis using nonparametric statistics based on the Threshold Free Cluster Enhancement method and utilized a voxel threshold of p < 0.05. RESULTS Twenty individuals (10 male and 10 female) with a median age of 25 years (IQR [3.5]) participated in the study. We placed 31 different 4-mm spherical seeds throughout the cerebellum and assessed their FC with the remainder of the brain. Three of these (left cerebellar tonsil, right posterolateral lobe, right posterior lobe) showed significant differences in connectivity when comparing scans conducted with a full bladder to those with an empty bladder. Additionally, we observed sex differences in FC, with connectivity being higher in women during the empty bladder condition. CONCLUSION Our initial findings reveal, for the first time, that the connectivity of the cerebellar network is modulated by bladder filling and is associated with LUT function. Unraveling the cerebellum's role in bladder function lays the foundation for a more comprehensive understanding of urinary pathologies affecting this area.
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Affiliation(s)
- Charles Mazeaud
- Department of Urology, Houston Methodist Hospital, Houston, Texas, USA
- Department of Urology, Nancy University Hospital, IADI-UL-INSERM (U1254), Nancy, France
| | - Jessica A Bernard
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, Texas, USA
- Texas A&M Institute for Neuroscience, Texas A&M University, College Station, Texas, USA
| | - Betsy H Salazar
- Department of Urology, Houston Methodist Hospital, Houston, Texas, USA
| | - Johnny Su
- Department of Urology, Houston Methodist Hospital, Houston, Texas, USA
| | - Christof Karmonik
- Houston Methodist Research Institute, Translational Imaging Center, Houston, Texas, USA
| | - Rose Khavari
- Department of Urology, Houston Methodist Hospital, Houston, Texas, USA
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Yang X, Liechti MD, Kanber B, Sudre CH, Castellazzi G, Zhang J, Yiannakas MC, Gonzales G, Prados F, Toosy AT, Gandini Wheeler-Kingshott CAM, Panicker JN. White Matter Magnetic Resonance Diffusion Measures in Multiple Sclerosis with Overactive Bladder. Brain Sci 2024; 14:975. [PMID: 39451989 PMCID: PMC11506346 DOI: 10.3390/brainsci14100975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 09/22/2024] [Accepted: 09/25/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND Lower urinary tract (LUT) symptoms are reported in more than 80% of patients with multiple sclerosis (MS), most commonly an overactive bladder (OAB). The relationship between brain white matter (WM) changes in MS and OAB symptoms is poorly understood. OBJECTIVES We aim to evaluate (i) microstructural WM differences across MS patients (pwMS) with OAB symptoms, patients without LUT symptoms, and healthy subjects using diffusion tensor imaging (DTI), and (ii) associations between clinical OAB symptom scores and DTI indices. METHODS Twenty-nine female pwMS [mean age (SD) 43.3 years (9.4)], including seventeen with OAB [mean age (SD) 46.1 years (8.6)] and nine without LUT symptoms [mean age (SD) 37.5 years (8.9)], and fourteen healthy controls (HCs) [mean age (SD) 48.5 years (20)] were scanned in a 3T MRI with a DTI protocol. Additionally, clinical scans were performed for WM lesion segmentation. Group differences in fractional anisotropy (FA) were evaluated using tract-based spatial statistics. The Urinary Symptom Profile questionnaire assessed OAB severity. RESULTS A statistically significant reduction in FA (p = 0.004) was identified in microstructural WM in pwMS, compared with HCs. An inverse correlation was found between FA in frontal and parietal WM lobes and OAB scores (p = 0.021) in pwMS. Areas of lower FA, although this did not reach statistical significance, were found in both frontal lobes and the rest of the non-dominant hemisphere in pwMS with OAB compared with pwMS without LUT symptoms (p = 0.072). CONCLUSIONS This study identified that lesions affecting different WM tracts in MS can result in OAB symptoms and demonstrated the role of the WM in the neural control of LUT functions. By using DTI, the association between OAB symptom severity and WM changes were identified, adding knowledge to the current LUT working model. As MS is predominantly a WM disease, these findings suggest that regional WM involvement, including of the anterior corona radiata, anterior thalamic radiation, superior longitudinal fasciculus, and superior frontal-occipital fasciculus and a non-dominant prevalence in WM, can result in OAB symptoms. OAB symptoms in MS correlate with anisotropy changes in different white matter tracts as demonstrated by DTI. Structural impairment in WM tracts plays an important role in LUT symptoms in MS.
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Affiliation(s)
- Xixi Yang
- Department of Neurology, Xuan Wu Hospital of Capital Medical University, Beijing 100053, China
- Department of Brain Repair and Rehabilitation, Faculty of Brain Sciences, Queen Square Institute of Neurology, University College London, London WC1E 6BT, UK; (M.D.L.); (J.N.P.)
- Department of Uro-Neurology, The National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK;
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London WC1E 6BT, UK; (B.K.); (G.C.); (M.C.Y.); (F.P.); (A.T.T.); (C.A.M.G.W.-K.)
| | - Martina D. Liechti
- Department of Brain Repair and Rehabilitation, Faculty of Brain Sciences, Queen Square Institute of Neurology, University College London, London WC1E 6BT, UK; (M.D.L.); (J.N.P.)
- Department of Uro-Neurology, The National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK;
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London WC1E 6BT, UK; (B.K.); (G.C.); (M.C.Y.); (F.P.); (A.T.T.); (C.A.M.G.W.-K.)
- Department of Neuro-Urology, Balgrist University Hospital, University of Zürich, 8006 Zürich, Switzerland
| | - Baris Kanber
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London WC1E 6BT, UK; (B.K.); (G.C.); (M.C.Y.); (F.P.); (A.T.T.); (C.A.M.G.W.-K.)
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK;
| | - Carole H. Sudre
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK;
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
- Dementia Research Centre, Institute of Neurology, University College London, London WC1E 6BT, UK
| | - Gloria Castellazzi
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London WC1E 6BT, UK; (B.K.); (G.C.); (M.C.Y.); (F.P.); (A.T.T.); (C.A.M.G.W.-K.)
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy
| | - Jiaying Zhang
- School of Artificial Intelligence, Beijing University of Post and Communications, Beijing 100876, China;
- Department of Computer Science and Centre for Medical Image Computing, University College London, London WC1E 6BT, UK
| | - Marios C. Yiannakas
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London WC1E 6BT, UK; (B.K.); (G.C.); (M.C.Y.); (F.P.); (A.T.T.); (C.A.M.G.W.-K.)
| | - Gwen Gonzales
- Department of Uro-Neurology, The National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK;
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London WC1E 6BT, UK; (B.K.); (G.C.); (M.C.Y.); (F.P.); (A.T.T.); (C.A.M.G.W.-K.)
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK;
- e-Health Centre, Universitat Oberta de Catalunya, 08018 Barcelona, Spain
| | - Ahmed T. Toosy
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London WC1E 6BT, UK; (B.K.); (G.C.); (M.C.Y.); (F.P.); (A.T.T.); (C.A.M.G.W.-K.)
| | - Claudia A. M. Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London WC1E 6BT, UK; (B.K.); (G.C.); (M.C.Y.); (F.P.); (A.T.T.); (C.A.M.G.W.-K.)
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
- Digital Neuroscience Centre, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Jalesh N. Panicker
- Department of Brain Repair and Rehabilitation, Faculty of Brain Sciences, Queen Square Institute of Neurology, University College London, London WC1E 6BT, UK; (M.D.L.); (J.N.P.)
- Department of Uro-Neurology, The National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK;
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de Rijk MM, Drake MJ, von Gontard A, Solomon E, Dmochowski R, Schurch B, van Koeveringe GA. Functional neuroimaging related to lower urinary tract sensations: Future directions for study designs and selection of patient groups: ICI-RS 2023. Neurourol Urodyn 2024; 43:1400-1408. [PMID: 37960970 DOI: 10.1002/nau.25333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/15/2023]
Abstract
OBJECTIVES Neuroimaging studies have advanced our understanding of the intricate central nervous system control network governing lower urinary tract (LUT) function, shedding light on mechanisms for urine storage and voiding. However, a lack of consensus in methodological approaches hinders the comparability of results among research groups and limits the translation of this knowledge to clinical applications, emphasizing the need for standardized methodologies and clinical utilization guidelines. METHODS This paper reports the discussions of a workshop at the 2023 meeting of the International Consultation on Incontinence Research Society, which reviewed uncertainties and research priorities to progress the field of neuroimaging in LUT control and dysfunction. RESULTS Neuroimaging holds great potential for improving our understanding of LUT control and pathophysiological conditions. To date, functional neuroimaging techniques have not yet achieved sufficient strength to make a direct clinical impact. Potential approaches that can improve the clinical utilization of neuroimaging were discussed and research questions proposed. CONCLUSIONS Neuroimaging offers a valuable tool for investigating LUT control, but it's essential to acknowledge the potential for oversimplification when interpreting brain activity due to the complex neural processing and filtering of sensory information. Moreover, technical limitations pose challenges in assessing key brain stem and spinal cord centers, particularly in cases of neurological dysfunction, highlighting the need for more reliable imaging of these centers to advance our understanding of LUT function and dysfunction.
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Affiliation(s)
- Mathijs M de Rijk
- Department of Urology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
- Department of Urology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Marcus J Drake
- Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK
| | - Alexander von Gontard
- Parent-Child and Adolescent Department, Hochgebirgsklinik, Davos, Switzerland
- Governor Kremers Centre, Department of Urology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Eskinder Solomon
- Urology Centre, Guy's and St Thomas' NHS Trust, London, UK
- Paediatric Nephro-Urology, Evelina Children's Hospital, London, UK
| | - Roger Dmochowski
- Department of Urologic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Brigitte Schurch
- Neuourology Unit, Clinique des Grangettes, Genève, Switzerland
- Department of Neuroscience, University Hospital Lausanne, Lausanne, Switzerland
| | - Gommert A van Koeveringe
- Department of Urology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
- Department of Urology, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Botter SM, Kessler TM. Neuro-Urology and Biobanking: An Integrated Approach for Advancing Research and Improving Patient Care. Int J Mol Sci 2023; 24:14281. [PMID: 37762582 PMCID: PMC10531693 DOI: 10.3390/ijms241814281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/12/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023] Open
Abstract
Understanding the molecular mechanisms underlying neuro-urological disorders is crucial for the development of targeted therapeutic interventions. Through the establishment of comprehensive biobanks, researchers can collect and store various biological specimens, including urine, blood, tissue, and DNA samples, to study these mechanisms. In the context of neuro-urology, biobanking facilitates the identification of genetic variations, epigenetic modifications, and gene expression patterns associated with neurogenic lower urinary tract dysfunction. These conditions often present as symptoms of neurological diseases such as Alzheimer's disease, multiple sclerosis, Parkinson's disease, spinal cord injury, and many others. Biobanking of tissue specimens from such patients is essential to understand why these diseases cause the respective symptoms and what can be done to alleviate them. The utilization of high-throughput technologies, such as next-generation sequencing and gene expression profiling, enables researchers to explore the molecular landscape of these conditions in an unprecedented manner. The development of specific and reliable biomarkers resulting from these efforts may help in early detection, accurate diagnosis, and effective monitoring of neuro-urological conditions, leading to improved patient care and management. Furthermore, these biomarkers could potentially facilitate the monitoring of novel therapies currently under investigation in neuro-urological clinical trials. This comprehensive review explores the synergistic integration of neuro-urology and biobanking, with particular emphasis on the translation of biobanking approaches in molecular research in neuro-urology. We discuss the advantages of biobanking in neuro-urological studies, the types of specimens collected and their applications in translational research. Furthermore, we highlight the importance of standardization and quality assurance when collecting samples and discuss challenges that may compromise sample quality and impose limitations on their subsequent utilization. Finally, we give recommendations for sampling in multicenter studies, examine sustainability issues associated with biobanking, and provide future directions for this dynamic field.
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Affiliation(s)
- Sander M. Botter
- Swiss Center for Musculoskeletal Biobanking, Balgrist Campus AG, 8008 Zürich, Switzerland
| | - Thomas M. Kessler
- Department of Neuro-Urology, Balgrist University Hospital, University of Zürich, 8008 Zürich, Switzerland;
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Ahmed RU, Medina‐Aguinaga D, Adams S, Knibbe CA, Morgan M, Gibson D, Kim J, Sharma M, Chopra M, Davison S, Sherwood LC, Negahdar M, Bert R, Ugiliweneza B, Hubscher C, Budde MD, Xu J, Boakye M. Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury. Ann Clin Transl Neurol 2023; 10:1647-1661. [PMID: 37501362 PMCID: PMC10502634 DOI: 10.1002/acn3.51855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/21/2023] [Accepted: 07/09/2023] [Indexed: 07/29/2023] Open
Abstract
OBJECTIVES To explore filtered diffusion-weighted imaging (fDWI), in comparison with conventional magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI), as a predictor for long-term locomotor and urodynamic (UD) outcomes in Yucatan minipig model of spinal cord injury (SCI). Additionally, electrical conductivity of neural tissue using D-waves above and below the injury was measured to assess correlations between fDWI and D-waves data. METHODS Eleven minipigs with contusion SCI at T8-T10 level underwent MRI at 3T 4 h. post-SCI. Parameters extracted from region of interest analysis included Daxial from fDWI at injury site, fractional anisotropy and radial diffusivity from DTI above the injury site along with measures of edema length and cord width at injury site from T2 -weighted images. Locomotor recovery was assessed pre- and weekly post-SCI through porcine thoracic injury behavior scale (PTIBS) and UD were performed pre- and at 12 weeks of SCI. D-waves latency and amplitude differences were recorded before and immediately after SCI. RESULTS Two groups of pigs were found based on the PTIBS at week 12 (p < 0.0001) post-SCI and were labeled "poor" and "good" recovery. D-waves amplitude decreased below injury and increased above injury. UD outcomes pre/post SCI changed significantly. Conventional MRI metrics from T2 -weighted images were significantly correlated with diffusion MRI metrics. Daxial at injury epicenter was diminished by over 50% shortly after SCI, and it differentiated between good and poor locomotor recovery and UD outcomes. INTERPRETATION Similar to small animal studies, fDWI from acute imaging after SCI is a promising predictor for functional outcomes in large animals.
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Affiliation(s)
- Rakib Uddin Ahmed
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Daniel Medina‐Aguinaga
- Department of Anatomical Sciences and NeurobiologyUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Shawns Adams
- Department of NeurosurgeryDuke UniversityRaleighNorth CarolinaUSA
| | - Chase A. Knibbe
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Monique Morgan
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Destiny Gibson
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Joo‐won Kim
- Department of RadiologyBaylor College of MedicineHoustonTexasUSA
- Department of PsychiatryBaylor College of MedicineHoustonTexasUSA
| | - Mayur Sharma
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Manpreet Chopra
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Steven Davison
- Comparative Medicine Research UnitUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Leslie C. Sherwood
- Comparative Medicine Research UnitUniversity of LouisvilleLouisvilleKentuckyUSA
| | - M.J. Negahdar
- Department of RadiologyUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Robert Bert
- Department of RadiologyUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Beatrice Ugiliweneza
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Charles Hubscher
- Department of Anatomical Sciences and NeurobiologyUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Matthew D. Budde
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
- Clement J. Zablocki Veterans Affairs Medical CenterMilwaukeeWisconsinUSA
| | - Junqian Xu
- Department of RadiologyBaylor College of MedicineHoustonTexasUSA
- Department of PsychiatryBaylor College of MedicineHoustonTexasUSA
| | - Maxwell Boakye
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
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Bou Kheir G, Verbakel I, Hervé F, Bauters W, Abou Karam A, Holm-Larsen T, Van Laecke E, Everaert K. OAB supraspinal control network, transition with age, and effect of treatment: A systematic review. Neurourol Urodyn 2022; 41:1224-1239. [PMID: 35537063 DOI: 10.1002/nau.24953] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 04/05/2022] [Accepted: 04/21/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE In light of a better understanding of supraspinal control of nonneurogenic overactive bladder (OAB), the prevalence of which increases with age, functional imaging has gained significant momentum. The objective of this study was to perform a systematic review on the transition of supraspinal control of OAB with age, the effect of therapeutic modalities, and a coordinate-based meta-analysis of all neuroimaging evidence on supraspinal OAB control in response to bladder filling. METHODOLOGY We performed a systematic literature search of all relevant libraries in November 2021. The coordinates of brain activity were extracted from eligible neuroimaging studies to perform an activation likelihood estimation (ALE) meta-analysis. RESULTS A total of 16 studies out of 241 were selected for our systematic review. Coordinates were extracted from five experiments involving 70 patients. ALE meta-analysis showed activation of the insula, supplementary motor area, dorsolateral prefrontal cortex, anterior cingulate gyrus, and temporal gyrus with a transition of activation patterns with age, using a threshold of uncorrected p < 0.001. Among young patients, neuroplasticity allows the activation of accessory circuits to maintain continence, as in the cerebellum and temporoparietal lobes. Anticholinergics, pelvic floor muscle training, sacral neuromodulation, and hypnotherapy are correlated with supraspinal changes attributed to adaptability and possibly a substratum of an intrinsic supraspinal component. The latter is better demonstrated by a resting-state functional connectivity analysis, a promising tool to phenotype OAB with recent successful models of predicting severity and response to behavioral treatments. CONCLUSION Future neuroimaging studies are necessary to better define an OAB neurosignature to allocate patients to successful treatments.
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Affiliation(s)
- George Bou Kheir
- Department of Urology, Ghent University Hospital, Ghent, Belgium
| | - Irina Verbakel
- Department of Urology, Ghent University Hospital, Ghent, Belgium
| | - François Hervé
- Department of Urology, Ghent University Hospital, Ghent, Belgium
| | - Wouter Bauters
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | - Anthony Abou Karam
- Department of Radiology, Yale New Haven Hospital, Yale, Connecticut, USA
| | - Tove Holm-Larsen
- Department of Urology, Ghent University Hospital, Ghent, Belgium
| | - Erik Van Laecke
- Department of Urology, Ghent University Hospital, Ghent, Belgium
| | - Karel Everaert
- Department of Urology, Ghent University Hospital, Ghent, Belgium
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Voiding and storage symptoms in depression/anxiety. Auton Neurosci 2021; 237:102927. [PMID: 34923228 DOI: 10.1016/j.autneu.2021.102927] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 09/27/2021] [Accepted: 12/05/2021] [Indexed: 12/11/2022]
Abstract
We here described the frequency and nature of voiding and storage bladder symptoms in depression/anxiety, for which we propose the name "bladder somatic symptom disorder (SSD)" because such symptoms most probably have brain mechanisms. SSD was formerly called as various terms including "somatoform disorder", "medically unexplained physical symptoms", "functional somatic syndrome" and "hysterical neurosis/hysteria". Bladder SSD has the following specific features that are distinguishable from "true" neurologic/organic bladder dysfunction: 1) situation-dependence (close association with life event in some), 2) urodynamically increased bladder sensation/hypersensitivity and 3) absence of neurologic/organic diseases, in addition to 4) other stress symptoms (insomnia, etc.), are key clues to the possibility of bladder SSD. Urodynamics in these patients showed, to a lesser extent, underactive bladder without post-void residual. These findings might reflect the biological changes of the depressive brain; e.g., decreases in serotonin and GABA, and possible increases in CRH. Treatment of bladder SSD can follow that of general depression/anxiety, with the potential addition of anticholinergic or selective beta3 bladder drugs.
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9
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Kessler TM. Neuro-Urology, Quo Vadis? Eur Urol Focus 2020; 6:801-803. [DOI: 10.1016/j.euf.2020.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 04/15/2020] [Indexed: 11/26/2022]
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